October: Ph.D. student Hong Yin was selected for the 2026 CAST Young Science and Technology Talent Cultivation Program (Doctoral Track).
October: M.S. students Zhen Chen, Lijia Liu, and Juan Wang received National Scholarships.
September: The paper “Modeling two-scale degradation with heterogeneity: a unified random-effects inverse Gaussian framework” was selected as a Featured Article by IISE Transactions.
August: The paper “Fault diagnosis of electromagnetic valve based on Bayesian optimization and two-layer long short-term memory neural network” was accepted by Quality and Reliability Engineering International.
August: Dr. Liangliang Zhuang received a National Natural Science Foundation of China Young Scientists Fund (Category C).
July: Dr. Liangliang Zhuang was selected for the National Funded Postdoctoral Researcher Program.
July: Dr. Liangliang Zhuang received the 79th China Postdoctoral Science Foundation General Grant.
July: M.S. students Jiahui Liu, Ziqi Chen, and Mengting Zhong won First Prize in the East China regional round of the 9th National Applied Statistics Professional Master Case Competition (and later a national third prize).
May: The paper “Bayesian group LASSO for high-dimensional stochastic frontiers analysis” was accepted by Statistical Theory and Related Fields.
April: The paper “A bivariate Wiener degradation model with partially random scale weights” was accepted by Reliability Engineering & System Safety.
March: The paper “A hierarchical Bayesian multivariate Wiener process model with dependent degradation rates and volatilities” was accepted by IEEE Transactions on Reliability.
February: The paper “Modeling two-scale degradation with heterogeneity: a unified random-effects inverse Gaussian framework” was accepted by IISE Transactions.
January: The paper “From Statistical Modeling to AI-Integrated Inverse Gaussian Process: A Comprehensive Review for Prognostics and Health Management” was accepted by Engineering Management.
January: The monograph Stochastic Degradation Processes and Statistical Modeling was approved as a Zhejiang Philosophy and Social Science Planning later-stage funded project (completed in March).
January: The group’s case “Aircraft engine remaining useful life prediction based on federated learning with adaptive sampling and ensemble methods” was selected as a 2025 Zhejiang Outstanding Teaching Case for Professional Degree Graduate Students.
January: “Federated learning with adaptive sampling and ensemble techniques for aircraft engine remaining useful life prediction” was selected as a 2024 Zhejiang Outstanding Innovation Outcome for Professional Degree Graduate Students (students: Lijia Liu, Xinming Weng, Zhen Chen, Juan Wang).
January: The paper “Kernel-based marginal testing for covariate effects in high-dimensional settings” was accepted by Scandinavian Journal of Statistics.
January: The paper “Joint modeling accelerated life tests and field data for reliability prediction” was accepted by Statistical Theory and Related Fields.
December: The paper “An online Bayesian framework for identifying latent system degradation states” was accepted by IEEE Transactions on Reliability.
December: The monograph Stochastic Degradation Processes and Statistical Modeling was published by Science Press and selected for the Statistics and Data Science book series.
October: M.S. student Renbing Wang received a National Scholarship.
October: M.S. students Lijia Liu, Juan Wang, and Zhen Chen won a national second prize in the 8th National Applied Statistics Professional Master Case Competition.
October: Dr. Liangliang Zhuang was named a Star of Innovative Practice at the Yangtze River Delta Forum on Scientific Integrity and Academic Conduct.
October: The paper “A robust Bayesian framework for degradation state identification in the presence of outliers” was accepted by Naval Research Logistics.
September: The paper “Recursive Bayesian prediction of remaining useful life for gamma degradation process under conjugate priors” was accepted by Scandinavian Journal of Statistics.
September: The paper “Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction” was listed as an ESI Highly Cited Paper.
August: The paper “Efficient Bayesian reliability assessment for step-stress accelerated Wiener degradation model” was accepted by Reliability Engineering & System Safety.
August: The group was awarded an NSFC General Program, “Reliability assessment and Bayesian optimal design for multivariate skewed heavy-tailed degradation data (72571246)”.
June: Ph.D. student Liangliang Zhuang defended his dissertation and joined Nanjing University of Science and Technology, School of Economics and Management.
April: Ancha Xu and Lijia Liu won the championship of the 11th Feiyang Cup faculty–student badminton tournament.
April: Ancha Xu received the 4th Outstanding Mentor Award of Zhejiang Gongshang University.
April: The paper “Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction” was accepted by Applied Soft Computing.
November: The team received the Third Prize of the Zhejiang Provincial Natural Science Award for “Small-sample theory and methods for reliability assessment” (Ancha Xu, Piao Chen, Bingxing Wang, Yincai Tang).
November: Ph.D. student Liangliang Zhuang received a National Scholarship.
October: Ph.D. student Hong Yin and M.S. student Di Zhu received first- and second-prize graduate paper awards from the Big Data Statistics Society of the Chinese Association for Applied Statistics.
October: The paper “Bayesian identification of system states in presence of measurement error” received the Best Paper Award at SRSE 2024.
September: The paper “Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction” was accepted by Journal of Quality Technology.
August: Dr. Shirong Zhou was awarded an NSFC Young Scientists Fund.
July: The paper “A Multivariate Student-t process model for dependent tail-weighted degradation data” was accepted by IISE Transactions.
June: The paper “Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process” was accepted by European Journal of Operational Research.
February: The paper “A prognostic driven predictive maintenance framework based on Bayesian deep learning” was listed as an ESI Hot Paper.
December: Ph.D. student Liangliang Zhuang received an Outstanding Paper Award at the annual meeting of the Reliability Society of the Operations Research Society of China.
December: The group was awarded a Zhejiang Provincial Natural Science Foundation Key Program.
December: Dr. Shirong Zhou was awarded a Zhejiang Provincial Natural Science Foundation Young Scientists Fund.
July: Liangliang Zhuang received a China Scholarship Council fellowship for a one-year visit to the National University of Singapore (Jan 2024 – Jan 2025).
December: Ph.D. student Liangliang Zhuang received the Best Student Paper Award at the 4th International Conference on System Reliability and Safety Engineering.
November: Ph.D. student Liangliang Zhuang received a national second prize at the 6th National Statistics Doctoral Forum.